Overview

Dataset statistics

Number of variables152
Number of observations70882
Missing cells7692050
Missing cells (%)71.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory82.2 MiB
Average record size in memory1.2 KiB

Variable types

CAT111
UNSUPPORTED25
NUM13
BOOL3

Reproduction

Analysis started2020-08-24 21:26:09.120555
Analysis finished2020-08-24 21:41:28.265901
Duration15 minutes and 19.15 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

bill/InvoiceId has constant value "525075901" Constant
bill/BillingEntity has constant value "AWS" Constant
bill/BillType has constant value "Anniversary" Constant
bill/PayerAccountId has constant value "587407218046" Constant
bill/BillingPeriodStartDate has constant value "2020-07-01T00:00:00Z" Constant
bill/BillingPeriodEndDate has constant value "2020-08-01T00:00:00Z" Constant
lineItem/UsageAccountId has constant value "587407218046" Constant
lineItem/CurrencyCode has constant value "USD" Constant
lineItem/LegalEntity has constant value "Amazon Web Services, Inc." Constant
identity/LineItemId has a high cardinality: 5938 distinct values High cardinality
lineItem/UsageStartDate has a high cardinality: 742 distinct values High cardinality
lineItem/UsageEndDate has a high cardinality: 745 distinct values High cardinality
lineItem/UsageType has a high cardinality: 272 distinct values High cardinality
lineItem/Operation has a high cardinality: 126 distinct values High cardinality
lineItem/ResourceId has a high cardinality: 1603 distinct values High cardinality
lineItem/LineItemDescription has a high cardinality: 437 distinct values High cardinality
product/sku has a high cardinality: 280 distinct values High cardinality
product/usagetype has a high cardinality: 272 distinct values High cardinality
lineItem/UsageAccountId is highly correlated with bill/PayerAccountIdHigh correlation
bill/PayerAccountId is highly correlated with lineItem/UsageAccountIdHigh correlation
lineItem/BlendedRate is highly correlated with lineItem/UnblendedRateHigh correlation
lineItem/UnblendedRate is highly correlated with lineItem/BlendedRateHigh correlation
lineItem/BlendedCost is highly correlated with lineItem/UnblendedCostHigh correlation
lineItem/UnblendedCost is highly correlated with lineItem/BlendedCostHigh correlation
product/normalizationSizeFactor is highly correlated with lineItem/NormalizationFactorHigh correlation
lineItem/NormalizationFactor is highly correlated with product/normalizationSizeFactorHigh correlation
lineItem/AvailabilityZone has 66933 (94.4%) missing values Missing
lineItem/ResourceId has 2328 (3.3%) missing values Missing
lineItem/NormalizationFactor has 67585 (95.3%) missing values Missing
lineItem/NormalizedUsageAmount has 67585 (95.3%) missing values Missing
lineItem/TaxType has 70700 (99.7%) missing values Missing
product/accountAssistance has 70881 (> 99.9%) missing values Missing
product/alarmType has 70850 (> 99.9%) missing values Missing
product/architecturalReview has 70881 (> 99.9%) missing values Missing
product/architectureSupport has 70881 (> 99.9%) missing values Missing
product/availability has 70003 (98.8%) missing values Missing
product/bestPractices has 70881 (> 99.9%) missing values Missing
product/cacheEngine has 70758 (99.8%) missing values Missing
product/capacitystatus has 67997 (95.9%) missing values Missing
product/caseSeverityresponseTimes has 70881 (> 99.9%) missing values Missing
product/category has 70851 (> 99.9%) missing values Missing
product/clockSpeed has 67616 (95.4%) missing values Missing
product/computeFamily has 70820 (99.9%) missing values Missing
product/currentGeneration has 67461 (95.2%) missing values Missing
product/customerServiceAndCommunities has 70881 (> 99.9%) missing values Missing
product/databaseEngine has 70161 (99.0%) missing values Missing
product/dedicatedEbsThroughput has 67864 (95.7%) missing values Missing
product/deploymentOption has 70213 (99.1%) missing values Missing
product/description has 70831 (99.9%) missing values Missing
product/durability has 70003 (98.8%) missing values Missing
product/ecu has 67935 (95.8%) missing values Missing
product/endpointType has 70869 (> 99.9%) missing values Missing
product/engineCode has 70161 (99.0%) missing values Missing
product/enhancedNetworkingSupported has 67709 (95.5%) missing values Missing
product/findingGroup has 70842 (99.9%) missing values Missing
product/findingSource has 70842 (99.9%) missing values Missing
product/findingStorage has 70842 (99.9%) missing values Missing
product/freeUsageIncluded has 70876 (> 99.9%) missing values Missing
product/fromLocation has 44579 (62.9%) missing values Missing
product/fromLocationType has 44579 (62.9%) missing values Missing
product/group has 49638 (70.0%) missing values Missing
product/groupDescription has 49732 (70.2%) missing values Missing
product/includedServices has 70881 (> 99.9%) missing values Missing
product/instanceFamily has 67461 (95.2%) missing values Missing
product/instanceType has 67461 (95.2%) missing values Missing
product/instanceTypeFamily has 67647 (95.4%) missing values Missing
product/intelAvx2Available has 67935 (95.8%) missing values Missing
product/intelAvxAvailable has 67935 (95.8%) missing values Missing
product/intelTurboAvailable has 67935 (95.8%) missing values Missing
product/launchSupport has 70881 (> 99.9%) missing values Missing
product/licenseModel has 67647 (95.4%) missing values Missing
product/location has 34726 (49.0%) missing values Missing
product/locationType has 34726 (49.0%) missing values Missing
product/maxIopsBurstPerformance has 67597 (95.4%) missing values Missing
product/maxIopsvolume has 67597 (95.4%) missing values Missing
product/maxThroughputvolume has 67597 (95.4%) missing values Missing
product/maxVolumeSize has 67309 (95.0%) missing values Missing
product/memory has 67461 (95.2%) missing values Missing
product/messageDeliveryFrequency has 70820 (99.9%) missing values Missing
product/messageDeliveryOrder has 70820 (99.9%) missing values Missing
product/minVolumeSize has 70594 (99.6%) missing values Missing
product/networkPerformance has 67461 (95.2%) missing values Missing
product/normalizationSizeFactor has 67585 (95.3%) missing values Missing
product/operatingSystem has 67997 (95.9%) missing values Missing
product/operation has 64465 (90.9%) missing values Missing
product/operationsSupport has 70881 (> 99.9%) missing values Missing
product/physicalProcessor has 67585 (95.3%) missing values Missing
product/preInstalledSw has 70882 (100.0%) missing values Missing
product/proactiveGuidance has 70881 (> 99.9%) missing values Missing
product/processorArchitecture has 67585 (95.3%) missing values Missing
product/processorFeatures has 67678 (95.5%) missing values Missing
product/programmaticCaseManagement has 70881 (> 99.9%) missing values Missing
product/queueType has 70820 (99.9%) missing values Missing
product/requestDescription has 67989 (95.9%) missing values Missing
product/requestType has 67989 (95.9%) missing values Missing
product/resourceEndpoint has 70851 (> 99.9%) missing values Missing
product/routingTarget has 62722 (88.5%) missing values Missing
product/routingType has 62722 (88.5%) missing values Missing
product/standardGroup has 70851 (> 99.9%) missing values Missing
product/standardStorage has 70851 (> 99.9%) missing values Missing
product/storage has 67585 (95.3%) missing values Missing
product/storageClass has 69972 (98.7%) missing values Missing
product/storageFamily has 70820 (99.9%) missing values Missing
product/storageMedia has 65483 (92.4%) missing values Missing
product/storageType has 69411 (97.9%) missing values Missing
product/technicalSupport has 70881 (> 99.9%) missing values Missing
product/tenancy has 67997 (95.9%) missing values Missing
product/thirdpartySoftwareSupport has 70881 (> 99.9%) missing values Missing
product/toLocation has 44579 (62.9%) missing values Missing
product/toLocationType has 44579 (62.9%) missing values Missing
product/training has 70881 (> 99.9%) missing values Missing
product/transferType has 44579 (62.9%) missing values Missing
product/vcpu has 67461 (95.2%) missing values Missing
product/version has 68705 (96.9%) missing values Missing
product/volumeApiName has 67597 (95.4%) missing values Missing
product/volumeType has 66430 (93.7%) missing values Missing
product/whoCanOpenCases has 70881 (> 99.9%) missing values Missing
pricing/term has 1325 (1.9%) missing values Missing
reservation/AmortizedUpfrontCostForUsage has 70882 (100.0%) missing values Missing
reservation/AmortizedUpfrontFeeForBillingPeriod has 70882 (100.0%) missing values Missing
reservation/EffectiveCost has 70882 (100.0%) missing values Missing
reservation/EndTime has 70882 (100.0%) missing values Missing
reservation/ModificationStatus has 70882 (100.0%) missing values Missing
reservation/NormalizedUnitsPerReservation has 70882 (100.0%) missing values Missing
reservation/NumberOfReservations has 70882 (100.0%) missing values Missing
reservation/RecurringFeeForUsage has 70882 (100.0%) missing values Missing
reservation/StartTime has 70882 (100.0%) missing values Missing
reservation/TotalReservedNormalizedUnits has 70882 (100.0%) missing values Missing
reservation/TotalReservedUnits has 70882 (100.0%) missing values Missing
reservation/UnitsPerReservation has 70882 (100.0%) missing values Missing
reservation/UnusedAmortizedUpfrontFeeForBillingPeriod has 70882 (100.0%) missing values Missing
reservation/UnusedNormalizedUnitQuantity has 70882 (100.0%) missing values Missing
reservation/UnusedQuantity has 70882 (100.0%) missing values Missing
reservation/UnusedRecurringFee has 70882 (100.0%) missing values Missing
reservation/UpfrontValue has 70882 (100.0%) missing values Missing
savingsPlan/TotalCommitmentToDate has 70882 (100.0%) missing values Missing
savingsPlan/SavingsPlanARN has 70882 (100.0%) missing values Missing
savingsPlan/SavingsPlanRate has 70882 (100.0%) missing values Missing
savingsPlan/UsedCommitment has 70882 (100.0%) missing values Missing
savingsPlan/SavingsPlanEffectiveCost has 70882 (100.0%) missing values Missing
savingsPlan/AmortizedUpfrontCommitmentForBillingPeriod has 70882 (100.0%) missing values Missing
savingsPlan/RecurringCommitmentForBillingPeriod has 70882 (100.0%) missing values Missing
lineItem/UsageAmount is highly skewed (γ1 = 52.54811319) Skewed
lineItem/UnblendedCost is highly skewed (γ1 = 76.51087731) Skewed
lineItem/BlendedCost is highly skewed (γ1 = 76.51087731) Skewed
pricing/publicOnDemandCost is highly skewed (γ1 = 265.8939597) Skewed
pricing/publicOnDemandRate is highly skewed (γ1 = 50.04531563) Skewed
product/computeFamily is uniformly distributed Uniform
product/preInstalledSw is an unsupported type, check if it needs cleaning or further analysis Unsupported
reservation/AmortizedUpfrontCostForUsage is an unsupported type, check if it needs cleaning or further analysis Unsupported
reservation/AmortizedUpfrontFeeForBillingPeriod is an unsupported type, check if it needs cleaning or further analysis Unsupported
reservation/EffectiveCost is an unsupported type, check if it needs cleaning or further analysis Unsupported
reservation/EndTime is an unsupported type, check if it needs cleaning or further analysis Unsupported
reservation/ModificationStatus is an unsupported type, check if it needs cleaning or further analysis Unsupported
reservation/NormalizedUnitsPerReservation is an unsupported type, check if it needs cleaning or further analysis Unsupported
reservation/NumberOfReservations is an unsupported type, check if it needs cleaning or further analysis Unsupported
reservation/RecurringFeeForUsage is an unsupported type, check if it needs cleaning or further analysis Unsupported
reservation/StartTime is an unsupported type, check if it needs cleaning or further analysis Unsupported
reservation/TotalReservedNormalizedUnits is an unsupported type, check if it needs cleaning or further analysis Unsupported
reservation/TotalReservedUnits is an unsupported type, check if it needs cleaning or further analysis Unsupported
reservation/UnitsPerReservation is an unsupported type, check if it needs cleaning or further analysis Unsupported
reservation/UnusedAmortizedUpfrontFeeForBillingPeriod is an unsupported type, check if it needs cleaning or further analysis Unsupported
reservation/UnusedNormalizedUnitQuantity is an unsupported type, check if it needs cleaning or further analysis Unsupported
reservation/UnusedQuantity is an unsupported type, check if it needs cleaning or further analysis Unsupported
reservation/UnusedRecurringFee is an unsupported type, check if it needs cleaning or further analysis Unsupported
reservation/UpfrontValue is an unsupported type, check if it needs cleaning or further analysis Unsupported
savingsPlan/TotalCommitmentToDate is an unsupported type, check if it needs cleaning or further analysis Unsupported
savingsPlan/SavingsPlanARN is an unsupported type, check if it needs cleaning or further analysis Unsupported
savingsPlan/SavingsPlanRate is an unsupported type, check if it needs cleaning or further analysis Unsupported
savingsPlan/UsedCommitment is an unsupported type, check if it needs cleaning or further analysis Unsupported
savingsPlan/SavingsPlanEffectiveCost is an unsupported type, check if it needs cleaning or further analysis Unsupported
savingsPlan/AmortizedUpfrontCommitmentForBillingPeriod is an unsupported type, check if it needs cleaning or further analysis Unsupported
savingsPlan/RecurringCommitmentForBillingPeriod is an unsupported type, check if it needs cleaning or further analysis Unsupported
lineItem/UnblendedRate has 8615 (12.2%) zeros Zeros
lineItem/UnblendedCost has 8823 (12.4%) zeros Zeros
lineItem/BlendedRate has 8615 (12.2%) zeros Zeros
lineItem/BlendedCost has 8823 (12.4%) zeros Zeros
pricing/publicOnDemandCost has 7135 (10.1%) zeros Zeros
pricing/publicOnDemandRate has 7109 (10.0%) zeros Zeros

Variables

identity/LineItemId
Categorical

HIGH CARDINALITY

Distinct count5938
Unique (%)8.4%
Missing0
Missing (%)0.0%
Memory size553.8 KiB
qsgpwqv2lgb32hxloodwjgfclu7eva46s6dyakypg4wl2r2bfopa
 
31
zgkxrzy53khzcny5kd7x7z2iccmskvbggfhmo7ntue72qn46g2iq
 
31
6hka5ahkzlg62mdp3ehjt6b255ydvtyppxh4rzcql3jzclr4r5gq
 
31
jlbpskzzb3427haed64iq45fwofka3ksq36nmmdr7ki65w74nkea
 
31
ydbcs5jqw5mbe7r6lvqgqvwxlqztoswi7hwh5jhos7hulkbecdoq
 
31
Other values (5933)
70727
ValueCountFrequency (%) 
qsgpwqv2lgb32hxloodwjgfclu7eva46s6dyakypg4wl2r2bfopa31< 0.1%
 
zgkxrzy53khzcny5kd7x7z2iccmskvbggfhmo7ntue72qn46g2iq31< 0.1%
 
6hka5ahkzlg62mdp3ehjt6b255ydvtyppxh4rzcql3jzclr4r5gq31< 0.1%
 
jlbpskzzb3427haed64iq45fwofka3ksq36nmmdr7ki65w74nkea31< 0.1%
 
ydbcs5jqw5mbe7r6lvqgqvwxlqztoswi7hwh5jhos7hulkbecdoq31< 0.1%
 
mrflfk4z35kpzwtsh63cgtlapqvuvauytqcw7qsxsmu4mnzjaa6q31< 0.1%
 
tt4wphbmvdvu23k3mhb4uhf32pgibgnhofdn5rcycxlqnzrmxgqq31< 0.1%
 
3szjiximvfezonatnpp225clvix4us6ae2o5tg54jj6xvll4fjtq31< 0.1%
 
pq6zzxohcpnqtsp2zclgbkskt6ojy2cvbh2gukobc2pg2wnbdoqq31< 0.1%
 
es7wmqzr2u5hvb7z2sbcbyzdmhllxwiamh4wvlcwhcch2j3dshtq31< 0.1%
 
Other values (5928)7057299.6%
 
2020-08-24T16:41:28.632770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length52
Median length52
Mean length52
Min length52

identity/TimeInterval
Categorical

Distinct count32
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size553.8 KiB
2020-07-28T00:00:00Z/2020-07-29T00:00:00Z
 
2736
2020-07-27T00:00:00Z/2020-07-28T00:00:00Z
 
2621
2020-07-29T00:00:00Z/2020-07-30T00:00:00Z
 
2620
2020-07-31T00:00:00Z/2020-08-01T00:00:00Z
 
2603
2020-07-30T00:00:00Z/2020-07-31T00:00:00Z
 
2552
Other values (27)
57750
ValueCountFrequency (%) 
2020-07-28T00:00:00Z/2020-07-29T00:00:00Z27363.9%
 
2020-07-27T00:00:00Z/2020-07-28T00:00:00Z26213.7%
 
2020-07-29T00:00:00Z/2020-07-30T00:00:00Z26203.7%
 
2020-07-31T00:00:00Z/2020-08-01T00:00:00Z26033.7%
 
2020-07-30T00:00:00Z/2020-07-31T00:00:00Z25523.6%
 
2020-07-23T00:00:00Z/2020-07-24T00:00:00Z24713.5%
 
2020-07-24T00:00:00Z/2020-07-25T00:00:00Z23983.4%
 
2020-07-02T00:00:00Z/2020-07-03T00:00:00Z23383.3%
 
2020-07-01T00:00:00Z/2020-07-02T00:00:00Z23293.3%
 
2020-07-21T00:00:00Z/2020-07-22T00:00:00Z22963.2%
 
Other values (22)4591864.8%
 
2020-08-24T16:41:29.011919image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length41
Median length41
Mean length41
Min length41

bill/InvoiceId
Categorical

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size553.8 KiB
525075901
70882
ValueCountFrequency (%) 
52507590170882100.0%
 
2020-08-24T16:41:29.364028image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

bill/BillingEntity
Categorical

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size553.8 KiB
AWS
70882
ValueCountFrequency (%) 
AWS70882100.0%
 
2020-08-24T16:41:29.725040image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

bill/BillType
Categorical

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size553.8 KiB
Anniversary
70882
ValueCountFrequency (%) 
Anniversary70882100.0%
 
2020-08-24T16:41:30.086376image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

bill/PayerAccountId
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size553.8 KiB
5.87407218e+11
70882
ValueCountFrequency (%) 
5.87407218e+1170882100.0%
 
2020-08-24T16:41:30.451319image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

bill/BillingPeriodStartDate
Categorical

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size553.8 KiB
2020-07-01T00:00:00Z
70882
ValueCountFrequency (%) 
2020-07-01T00:00:00Z70882100.0%
 
2020-08-24T16:41:30.803856image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

bill/BillingPeriodEndDate
Categorical

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size553.8 KiB
2020-08-01T00:00:00Z
70882
ValueCountFrequency (%) 
2020-08-01T00:00:00Z70882100.0%
 
2020-08-24T16:41:31.162881image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

lineItem/UsageAccountId
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size553.8 KiB
5.87407218e+11
70882
ValueCountFrequency (%) 
5.87407218e+1170882100.0%
 
2020-08-24T16:41:31.519159image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

lineItem/LineItemType
Categorical

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size553.8 KiB
Usage
70700
Tax
 
182
ValueCountFrequency (%) 
Usage7070099.7%
 
Tax1820.3%
 
2020-08-24T16:41:31.885891image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.994864705
Min length3

lineItem/UsageStartDate
Categorical

HIGH CARDINALITY

Distinct count742
Unique (%)1.0%
Missing0
Missing (%)0.0%
Memory size553.8 KiB
2020-07-28T00:00:00Z
 
1903
2020-07-31T00:00:00Z
 
1874
2020-07-30T00:00:00Z
 
1868
2020-07-29T00:00:00Z
 
1831
2020-07-01T00:00:00Z
 
1706
Other values (737)
61700
ValueCountFrequency (%) 
2020-07-28T00:00:00Z19032.7%
 
2020-07-31T00:00:00Z18742.6%
 
2020-07-30T00:00:00Z18682.6%
 
2020-07-29T00:00:00Z18312.6%
 
2020-07-01T00:00:00Z17062.4%
 
2020-07-02T00:00:00Z15682.2%
 
2020-07-18T00:00:00Z15602.2%
 
2020-07-10T00:00:00Z15252.2%
 
2020-07-24T00:00:00Z15132.1%
 
2020-07-11T00:00:00Z15122.1%
 
Other values (732)5402276.2%
 
2020-08-24T16:41:32.247245image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

lineItem/UsageEndDate
Categorical

HIGH CARDINALITY

Distinct count745
Unique (%)1.1%
Missing0
Missing (%)0.0%
Memory size553.8 KiB
2020-08-01T00:00:00Z
 
2003
2020-07-28T00:00:00Z
 
1833
2020-07-30T00:00:00Z
 
1797
2020-07-31T00:00:00Z
 
1778
2020-07-29T00:00:00Z
 
1747
Other values (740)
61724
ValueCountFrequency (%) 
2020-08-01T00:00:00Z20032.8%
 
2020-07-28T00:00:00Z18332.6%
 
2020-07-30T00:00:00Z17972.5%
 
2020-07-31T00:00:00Z17782.5%
 
2020-07-29T00:00:00Z17472.5%
 
2020-07-25T00:00:00Z14602.1%
 
2020-07-24T00:00:00Z14422.0%
 
2020-07-22T00:00:00Z14422.0%
 
2020-07-27T00:00:00Z14342.0%
 
2020-07-08T00:00:00Z14202.0%
 
Other values (735)5452676.9%
 
2020-08-24T16:41:32.622951image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

lineItem/ProductCode
Categorical

Distinct count23
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size553.8 KiB
AmazonS3
24708
AmazonEC2
21877
AmazonRoute53
8225
AmazonCloudFront
6884
AmazonCloudWatch
 
3155
Other values (18)
6033
ValueCountFrequency (%) 
AmazonS32470834.9%
 
AmazonEC22187730.9%
 
AmazonRoute53822511.6%
 
AmazonCloudFront68849.7%
 
AmazonCloudWatch31554.5%
 
AmazonRDS18752.6%
 
AmazonECR17552.5%
 
awskms8261.2%
 
AWSCloudTrail5610.8%
 
AmazonSNS3200.5%
 
Other values (13)6961.0%
 
2020-08-24T16:41:33.029148image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length19
Median length9
Mean length10.14105132
Min length6

lineItem/UsageType
Categorical

HIGH CARDINALITY

Distinct count272
Unique (%)0.4%
Missing0
Missing (%)0.0%
Memory size553.8 KiB
USW2-Requests-Tier2
10522
DNS-Queries
 
7338
USW2-DataTransfer-Regional-Bytes
 
6653
USW2-USE1-AWS-Out-Bytes
 
6115
USW2-EBS:VolumeUsage.gp2
 
3286
Other values (267)
36968
ValueCountFrequency (%) 
USW2-Requests-Tier21052214.8%
 
DNS-Queries733810.4%
 
USW2-DataTransfer-Regional-Bytes66539.4%
 
USW2-USE1-AWS-Out-Bytes61158.6%
 
USW2-EBS:VolumeUsage.gp232864.6%
 
USW2-TimedStorage-ByteHrs25713.6%
 
USW2-BoxUsage:m5.2xlarge23593.3%
 
Requests-Tier222613.2%
 
USW2-DataTransfer-Out-Bytes15962.3%
 
USE2-Requests-Tier215552.2%
 
Other values (262)2662637.6%
 
2020-08-24T16:41:33.411000image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length45
Median length23
Mean length21.7642843
Min length6

lineItem/Operation
Categorical

HIGH CARDINALITY

Distinct count126
Unique (%)0.2%
Missing130
Missing (%)0.2%
Memory size553.8 KiB
RunInstances
 
4835
CreateVolume-Gp2
 
3285
GET
 
3285
ReadACL
 
3046
InterZone-In
 
2789
Other values (121)
53512
ValueCountFrequency (%) 
RunInstances48356.8%
 
CreateVolume-Gp232854.6%
 
GET32854.6%
 
ReadACL30464.3%
 
InterZone-In27893.9%
 
InterZone-Out27773.9%
 
PublicIP-In25473.6%
 
HeadBucket20672.9%
 
ReadBucketServerSideEncryption20082.8%
 
ReadVersioningProps20082.8%
 
Other values (116)4210559.4%
 
2020-08-24T16:41:33.791093image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length31
Median length12
Mean length12.50184814
Min length1

lineItem/AvailabilityZone
Categorical

MISSING

Distinct count5
Unique (%)0.1%
Missing66933
Missing (%)94.4%
Memory size553.8 KiB
us-west-2a
1217
us-west-2
971
us-west-2b
902
us-west-2c
828
us-east-2
 
31
ValueCountFrequency (%) 
us-west-2a12171.7%
 
us-west-29711.4%
 
us-west-2b9021.3%
 
us-west-2c8281.2%
 
us-east-231< 0.1%
 
(Missing)6693394.4%
 
2020-08-24T16:41:34.163016image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.375850004
Min length3

lineItem/ResourceId
Categorical

HIGH CARDINALITY
MISSING

Distinct count1603
Unique (%)2.3%
Missing2328
Missing (%)3.3%
Memory size553.8 KiB
arn:aws:cloudfront::587407218046:distribution/E3L1L900EODVTU
 
2921
clockwise-s3-access-logs
 
1401
clockwise-s3-devenv-assets
 
1143
clockwise-static-assets-staging
 
1043
arn:aws:cloudfront::587407218046:distribution/E177QOTLXCM6DE
 
1034
Other values (1598)
61012
ValueCountFrequency (%) 
arn:aws:cloudfront::587407218046:distribution/E3L1L900EODVTU29214.1%
 
clockwise-s3-access-logs14012.0%
 
clockwise-s3-devenv-assets11431.6%
 
clockwise-static-assets-staging10431.5%
 
arn:aws:cloudfront::587407218046:distribution/E177QOTLXCM6DE10341.5%
 
clockwise-static-assets9961.4%
 
clockwise-kops-state-store9841.4%
 
airflow-logs-6b534348511.2%
 
clockwise-kubernetes-backups8291.2%
 
clockwise-dev-secrets8211.2%
 
Other values (1593)5653179.8%
 
(Missing)23283.3%
 
2020-08-24T16:41:34.551730image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length117
Median length29
Mean length40.0150814
Min length3

lineItem/UsageAmount
Real number (ℝ≥0)

SKEWED

Distinct count24183
Unique (%)34.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1403262.037068668
Minimum0.0
Maximum4124062029.0
Zeros25
Zeros (%)< 0.1%
Memory size553.8 KiB
2020-08-24T16:41:34.649774image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.47005e-07
Q10.00107728585
median3
Q324
95-th percentile1079.85
Maximum4124062029
Range4124062029
Interquartile range (IQR)23.99892271

Descriptive statistics

Standard deviation63509996.59
Coefficient of variation (CV)45.25882901
Kurtosis2880.642304
Mean1403262.037
Median Absolute Deviation (MAD)2.99999922
Skewness52.54811319
Sum9.946601971e+10
Variance4.033519666e+15
2020-08-24T16:41:34.742358image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
24759210.7%
 
148876.9%
 
224623.5%
 
4.12903225913962.0%
 
412291.7%
 
311391.6%
 
6.4608e-069091.3%
 
3.6216e-068121.1%
 
227151.0%
 
3.73e-087091.0%
 
Other values (24173)4903269.2%
 
ValueCountFrequency (%) 
025< 0.1%
 
1e-091< 0.1%
 
6.5e-091< 0.1%
 
8.6e-0931< 0.1%
 
8.9e-0931< 0.1%
 
ValueCountFrequency (%) 
41240620291< 0.1%
 
40770506841< 0.1%
 
40697731361< 0.1%
 
39985769821< 0.1%
 
39322965631< 0.1%
 

lineItem/NormalizationFactor
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct count7
Unique (%)0.2%
Missing67585
Missing (%)95.3%
Infinite0
Infinite (%)0.0%
Mean13.916742493175613
Minimum0.5
Maximum32.0
Zeros0
Zeros (%)0.0%
Memory size553.8 KiB
2020-08-24T16:41:34.829094image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile1
Q116
median16
Q316
95-th percentile16
Maximum32
Range31.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.327034858
Coefficient of variation (CV)0.4546347581
Kurtosis1.55986649
Mean13.91674249
Median Absolute Deviation (MAD)0
Skewness-0.1348886375
Sum45883.5
Variance40.03137009
2020-08-24T16:41:34.920967image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1624403.4%
 
43410.5%
 
81400.2%
 
321280.2%
 
1930.1%
 
0.5930.1%
 
2620.1%
 
(Missing)6758595.3%
 
ValueCountFrequency (%) 
0.5930.1%
 
1930.1%
 
2620.1%
 
43410.5%
 
81400.2%
 
ValueCountFrequency (%) 
321280.2%
 
1624403.4%
 
81400.2%
 
43410.5%
 
2620.1%
 

lineItem/NormalizedUsageAmount
Real number (ℝ≥0)

MISSING

Distinct count583
Unique (%)17.7%
Missing67585
Missing (%)95.3%
Infinite0
Infinite (%)0.0%
Mean267.67173453685166
Minimum0.071104
Maximum768.0
Zeros0
Zeros (%)0.0%
Memory size553.8 KiB
2020-08-24T16:41:35.012188image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.071104
5-th percentile12
Q196
median368
Q3384
95-th percentile384
Maximum768
Range767.928896
Interquartile range (IQR)288

Descriptive statistics

Standard deviation182.9783568
Coefficient of variation (CV)0.6835923754
Kurtosis-0.0002256502294
Mean267.6717345
Median Absolute Deviation (MAD)16
Skewness0.2702744446
Sum882513.7088
Variance33481.07907
2020-08-24T16:41:35.112864image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
38414762.1%
 
963410.5%
 
1921390.2%
 
7681250.2%
 
3521050.1%
 
368980.1%
 
12930.1%
 
24930.1%
 
320830.1%
 
48790.1%
 
Other values (573)6650.9%
 
(Missing)6758595.3%
 
ValueCountFrequency (%) 
0.0711041< 0.1%
 
0.1466721< 0.1%
 
0.1866721< 0.1%
 
0.9511042< 0.1%
 
1.81< 0.1%
 
ValueCountFrequency (%) 
7681250.2%
 
487.1021761< 0.1%
 
38414762.1%
 
383.1377761< 0.1%
 
382.9955521< 0.1%
 

lineItem/CurrencyCode
Categorical

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size553.8 KiB
USD
70882
ValueCountFrequency (%) 
USD70882100.0%
 
2020-08-24T16:41:35.502088image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

lineItem/UnblendedRate
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct count77
Unique (%)0.1%
Missing182
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.04832473491145686
Minimum0.0
Maximum4.64
Zeros8615
Zeros (%)12.2%
Memory size553.8 KiB
2020-08-24T16:41:35.594907image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14e-07
median1e-05
Q30.02
95-th percentile0.384
Maximum4.64
Range4.64
Interquartile range (IQR)0.0199996

Descriptive statistics

Standard deviation0.1676835927
Coefficient of variation (CV)3.469933007
Kurtosis285.0779937
Mean0.04832473491
Median Absolute Deviation (MAD)1e-05
Skewness13.15475565
Sum3416.558758
Variance0.02811778727
2020-08-24T16:41:35.680713image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
4e-072167230.6%
 
0.02877412.4%
 
0861512.2%
 
0.01799711.3%
 
0.149006.9%
 
0.38423583.3%
 
0.0915902.2%
 
5e-0610391.5%
 
1.2e-069331.3%
 
0.0858251.2%
 
Other values (67)1199716.9%
 
ValueCountFrequency (%) 
0861512.2%
 
2e-0731< 0.1%
 
4e-072167230.6%
 
6e-077091.0%
 
7.5e-073590.5%
 
ValueCountFrequency (%) 
4.6431< 0.1%
 
2.32620.1%
 
1.6831< 0.1%
 
1.424660.1%
 
1410.1%
 

lineItem/UnblendedCost
Real number (ℝ≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct count20358
Unique (%)28.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4241166875874074
Minimum0.0
Maximum2940.1234675463
Zeros8823
Zeros (%)12.4%
Memory size553.8 KiB
2020-08-24T16:41:35.767290image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.877e-07
median9.6e-06
Q30.03353267715
95-th percentile6.357344513
Maximum2940.123468
Range2940.123468
Interquartile range (IQR)0.03353248945

Descriptive statistics

Standard deviation18.35864782
Coefficient of variation (CV)12.8912525
Kurtosis9931.514126
Mean1.424116688
Median Absolute Deviation (MAD)9.6e-06
Skewness76.51087731
Sum100944.239
Variance337.0399496
2020-08-24T16:41:35.857462image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0882312.4%
 
9.6e-0643856.2%
 
4e-0735845.1%
 
8e-0720622.9%
 
9.21613962.0%
 
0.412903226413962.0%
 
1.2e-069951.4%
 
1.296e-077751.1%
 
1.6e-067591.1%
 
1e-057291.0%
 
Other values (20348)4597864.9%
 
ValueCountFrequency (%) 
0882312.4%
 
2e-10620.1%
 
3e-1024< 0.1%
 
4e-107< 0.1%
 
5e-104< 0.1%
 
ValueCountFrequency (%) 
2940.1234681< 0.1%
 
824.81240581< 0.1%
 
815.41013681< 0.1%
 
813.95462721< 0.1%
 
799.71539641< 0.1%
 

lineItem/BlendedRate
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct count77
Unique (%)0.1%
Missing182
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.04832473491145686
Minimum0.0
Maximum4.64
Zeros8615
Zeros (%)12.2%
Memory size553.8 KiB
2020-08-24T16:41:35.942144image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14e-07
median1e-05
Q30.02
95-th percentile0.384
Maximum4.64
Range4.64
Interquartile range (IQR)0.0199996

Descriptive statistics

Standard deviation0.1676835927
Coefficient of variation (CV)3.469933007
Kurtosis285.0779937
Mean0.04832473491
Median Absolute Deviation (MAD)1e-05
Skewness13.15475565
Sum3416.558758
Variance0.02811778727
2020-08-24T16:41:36.024452image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
4e-072167230.6%
 
0.02877412.4%
 
0861512.2%
 
0.01799711.3%
 
0.149006.9%
 
0.38423583.3%
 
0.0915902.2%
 
5e-0610391.5%
 
1.2e-069331.3%
 
0.0858251.2%
 
Other values (67)1199716.9%
 
ValueCountFrequency (%) 
0861512.2%
 
2e-0731< 0.1%
 
4e-072167230.6%
 
6e-077091.0%
 
7.5e-073590.5%
 
ValueCountFrequency (%) 
4.6431< 0.1%
 
2.32620.1%
 
1.6831< 0.1%
 
1.424660.1%
 
1410.1%
 

lineItem/BlendedCost
Real number (ℝ≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct count20358
Unique (%)28.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4241166875874074
Minimum0.0
Maximum2940.1234675463
Zeros8823
Zeros (%)12.4%
Memory size553.8 KiB
2020-08-24T16:41:36.111862image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.877e-07
median9.6e-06
Q30.03353267715
95-th percentile6.357344513
Maximum2940.123468
Range2940.123468
Interquartile range (IQR)0.03353248945

Descriptive statistics

Standard deviation18.35864782
Coefficient of variation (CV)12.8912525
Kurtosis9931.514126
Mean1.424116688
Median Absolute Deviation (MAD)9.6e-06
Skewness76.51087731
Sum100944.239
Variance337.0399496
2020-08-24T16:41:36.204113image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0882312.4%
 
9.6e-0643856.2%
 
4e-0735845.1%
 
8e-0720622.9%
 
9.21613962.0%
 
0.412903226413962.0%
 
1.2e-069951.4%
 
1.296e-077751.1%
 
1.6e-067591.1%
 
1e-057291.0%
 
Other values (20348)4597864.9%
 
ValueCountFrequency (%) 
0882312.4%
 
2e-10620.1%
 
3e-1024< 0.1%
 
4e-107< 0.1%
 
5e-104< 0.1%
 
ValueCountFrequency (%) 
2940.1234681< 0.1%
 
824.81240581< 0.1%
 
815.41013681< 0.1%
 
813.95462721< 0.1%
 
799.71539641< 0.1%
 

lineItem/LineItemDescription
Categorical

HIGH CARDINALITY

Distinct count437
Unique (%)0.6%
Missing0
Missing (%)0.0%
Memory size553.8 KiB
$0.004 per 10,000 GET and all other requests
14335
$0.40 per 1,000,000 queries for the first 1 Billion queries
7337
$0.010 per GB - regional data transfer - in/out/between EC2 AZs or using elastic IPs or ELB
6652
$0.02 per GB - US West (Oregon) data transfer to US East (Northern Virginia)
 
6114
$0.10 per GB-month of General Purpose SSD (gp2) provisioned storage - US West (Oregon)
 
3285
Other values (432)
33159
ValueCountFrequency (%) 
$0.004 per 10,000 GET and all other requests1433520.2%
 
$0.40 per 1,000,000 queries for the first 1 Billion queries733710.4%
 
$0.010 per GB - regional data transfer - in/out/between EC2 AZs or using elastic IPs or ELB66529.4%
 
$0.02 per GB - US West (Oregon) data transfer to US East (Northern Virginia)61148.6%
 
$0.10 per GB-month of General Purpose SSD (gp2) provisioned storage - US West (Oregon)32854.6%
 
$0.384 per On Demand Linux m5.2xlarge Instance Hour23583.3%
 
$0.090 per GB - first 10 TB / month data transfer out beyond the global free tier15902.2%
 
$0.10 per GB-month of data storage14712.1%
 
$0.01 per GB - US East (Ohio) data transfer to US East (Northern Virginia)13441.9%
 
$0.005 per 1,000 PUT, COPY, POST, or LIST requests10391.5%
 
Other values (427)2535735.8%
 
2020-08-24T16:41:36.562403image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length115
Median length59
Mean length60.90051071
Min length16

lineItem/TaxType
Categorical

MISSING

Distinct count4
Unique (%)2.2%
Missing70700
Missing (%)99.7%
Memory size553.8 KiB
USSalesTax
157
GST
 
10
CT
 
10
General GST
 
5
ValueCountFrequency (%) 
USSalesTax1570.2%
 
GST10< 0.1%
 
CT10< 0.1%
 
General GST5< 0.1%
 
(Missing)7070099.7%
 
2020-08-24T16:41:36.919704image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.01592788
Min length2

lineItem/LegalEntity
Categorical

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size553.8 KiB
Amazon Web Services, Inc.
70882
ValueCountFrequency (%) 
Amazon Web Services, Inc.70882100.0%
 
2020-08-24T16:41:37.273072image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

product/ProductName
Categorical

Distinct count23
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size553.8 KiB
Amazon Simple Storage Service
24708
Amazon Elastic Compute Cloud
21877
Amazon Route 53
8225
Amazon CloudFront
6884
AmazonCloudWatch
 
3155
Other values (18)
6033
ValueCountFrequency (%) 
Amazon Simple Storage Service2470834.9%
 
Amazon Elastic Compute Cloud2187730.9%
 
Amazon Route 53822511.6%
 
Amazon CloudFront68849.7%
 
AmazonCloudWatch31554.5%
 
Amazon Relational Database Service18752.6%
 
Amazon EC2 Container Registry (ECR)17552.5%
 
AWS Key Management Service8261.2%
 
AWS CloudTrail5610.8%
 
Amazon Simple Notification Service3200.5%
 
Other values (13)6961.0%
 
2020-08-24T16:41:37.635670image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length41
Median length28
Mean length25.42418385
Min length10

product/accountAssistance
Categorical

MISSING

Distinct count1
Unique (%)100.0%
Missing70881
Missing (%)> 99.9%
Memory size553.8 KiB
Not included
1
ValueCountFrequency (%) 
Not included1< 0.1%
 
(Missing)70881> 99.9%
 
2020-08-24T16:41:37.987825image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.000126972
Min length3

product/alarmType
Categorical

MISSING

Distinct count1
Unique (%)3.1%
Missing70850
Missing (%)> 99.9%
Memory size553.8 KiB
Standard
32
ValueCountFrequency (%) 
Standard32< 0.1%
 
(Missing)70850> 99.9%
 
2020-08-24T16:41:38.350075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.002257273
Min length3

product/architecturalReview
Categorical

MISSING

Distinct count1
Unique (%)100.0%
Missing70881
Missing (%)> 99.9%
Memory size553.8 KiB
Not included
1
ValueCountFrequency (%) 
Not included1< 0.1%
 
(Missing)70881> 99.9%
 
2020-08-24T16:41:38.706755image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.000126972
Min length3

product/architectureSupport
Categorical

MISSING

Distinct count1
Unique (%)100.0%
Missing70881
Missing (%)> 99.9%
Memory size553.8 KiB
General guidance
1
ValueCountFrequency (%) 
General guidance1< 0.1%
 
(Missing)70881> 99.9%
 
2020-08-24T16:41:39.070770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.000183403
Min length3

product/availability
Categorical

MISSING

Distinct count1
Unique (%)0.1%
Missing70003
Missing (%)98.8%
Memory size553.8 KiB
99.99%
879
ValueCountFrequency (%) 
99.99%8791.2%
 
(Missing)7000398.8%
 
2020-08-24T16:41:39.433081image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.037202675
Min length3

product/bestPractices
Categorical

MISSING

Distinct count1
Unique (%)100.0%
Missing70881
Missing (%)> 99.9%
Memory size553.8 KiB
Access to 4 core Trusted Advisor checks
1
ValueCountFrequency (%) 
Access to 4 core Trusted Advisor checks1< 0.1%
 
(Missing)70881> 99.9%
 
2020-08-24T16:41:39.800332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length39
Median length3
Mean length3.000507886
Min length3

product/cacheEngine
Categorical

MISSING

Distinct count1
Unique (%)0.8%
Missing70758
Missing (%)99.8%
Memory size553.8 KiB
Redis
124
ValueCountFrequency (%) 
Redis1240.2%
 
(Missing)7075899.8%
 
2020-08-24T16:41:40.178261image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.003498773
Min length3

product/capacitystatus
Categorical

MISSING

Distinct count1
Unique (%)< 0.1%
Missing67997
Missing (%)95.9%
Memory size553.8 KiB
Used
2885
ValueCountFrequency (%) 
Used28854.1%
 
(Missing)6799795.9%
 
2020-08-24T16:41:40.553918image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.040701447
Min length3

product/caseSeverityresponseTimes
Categorical

MISSING

Distinct count1
Unique (%)100.0%
Missing70881
Missing (%)> 99.9%
Memory size553.8 KiB
Normal: < 12 hours, Low: < 24 hours
1
ValueCountFrequency (%) 
Normal: < 12 hours, Low: < 24 hours1< 0.1%
 
(Missing)70881> 99.9%
 
2020-08-24T16:41:40.927640image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length35
Median length3
Mean length3.000451455
Min length3

product/category
Categorical

MISSING

Distinct count1
Unique (%)3.2%
Missing70851
Missing (%)> 99.9%
Memory size553.8 KiB
ConfigRuleEvaluation
31
ValueCountFrequency (%) 
ConfigRuleEvaluation31< 0.1%
 
(Missing)70851> 99.9%
 
2020-08-24T16:41:41.299244image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length20
Median length3
Mean length3.007434892
Min length3

product/clockSpeed
Categorical

MISSING

Distinct count5
Unique (%)0.2%
Missing67616
Missing (%)95.4%
Memory size553.8 KiB
3.1 GHz
2668
Up to 3.3 GHz
 
248
2.5 GHz
 
164
3 GHz
 
124
Up to 3.1 GHz
 
62
ValueCountFrequency (%) 
3.1 GHz26683.8%
 
Up to 3.3 GHz2480.3%
 
2.5 GHz1640.2%
 
3 GHz1240.2%
 
Up to 3.1 GHz620.1%
 
(Missing)6761695.4%
 
2020-08-24T16:41:41.663034image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.207048334
Min length3

product/computeFamily
Categorical

MISSING
UNIFORM

Distinct count2
Unique (%)3.2%
Missing70820
Missing (%)99.9%
Memory size553.8 KiB
m5.4xlarge
31
m5.large
31
ValueCountFrequency (%) 
m5.4xlarge31< 0.1%
 
m5.large31< 0.1%
 
(Missing)7082099.9%
 
2020-08-24T16:41:42.035618image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.005248159
Min length3

product/currentGeneration
Boolean

MISSING

Distinct count2
Unique (%)0.1%
Missing67461
Missing (%)95.2%
Memory size553.8 KiB
Yes
 
3328
No
 
93
(Missing)
67461
ValueCountFrequency (%) 
Yes33284.7%
 
No930.1%
 
(Missing)6746195.2%
 

product/customerServiceAndCommunities
Categorical

MISSING

Distinct count1
Unique (%)100.0%
Missing70881
Missing (%)> 99.9%
Memory size553.8 KiB
24x7 access to customer service, documentation, whitepapers, and support forums
1
ValueCountFrequency (%) 
24x7 access to customer service, documentation, whitepapers, and support forums1< 0.1%
 
(Missing)70881> 99.9%
 
2020-08-24T16:41:42.403543image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length79
Median length3
Mean length3.001072205
Min length3

product/databaseEngine
Categorical

MISSING

Distinct count3
Unique (%)0.4%
Missing70161
Missing (%)99.0%
Memory size553.8 KiB
Any
288
PostgreSQL
257
Aurora PostgreSQL
176
ValueCountFrequency (%) 
Any2880.4%
 
PostgreSQL2570.4%
 
Aurora PostgreSQL1760.2%
 
(Missing)7016199.0%
 
2020-08-24T16:41:42.801571image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length17
Median length3
Mean length3.060142208
Min length3

product/dedicatedEbsThroughput
Categorical

MISSING

Distinct count4
Unique (%)0.1%
Missing67864
Missing (%)95.7%
Memory size553.8 KiB
Up to 2120 Mbps
2766
Up to 2250 Mbps
 
124
2120 Mbps
 
66
3500 Mbps
 
62
ValueCountFrequency (%) 
Up to 2120 Mbps27663.9%
 
Up to 2250 Mbps1240.2%
 
2120 Mbps660.1%
 
3500 Mbps620.1%
 
(Missing)6786495.7%
 
2020-08-24T16:41:43.174643image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length15
Median length3
Mean length3.500098756
Min length3

product/deploymentOption
Categorical

MISSING

Distinct count1
Unique (%)0.1%
Missing70213
Missing (%)99.1%
Memory size553.8 KiB
Single-AZ
669
ValueCountFrequency (%) 
Single-AZ6690.9%
 
(Missing)7021399.1%
 
2020-08-24T16:41:43.528911image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.056629328
Min length3

product/description
Categorical

MISSING

Distinct count3
Unique (%)5.9%
Missing70831
Missing (%)99.9%
Memory size553.8 KiB
Route53 Hosted Zone
32
Charged for each 64KB chunk of published data
13
Tiered Usage Network instance-assessments
 
6
ValueCountFrequency (%) 
Route53 Hosted Zone32< 0.1%
 
Charged for each 64KB chunk of published data13< 0.1%
 
Tiered Usage Network instance-assessments6< 0.1%
 
(Missing)7083199.9%
 
2020-08-24T16:41:43.914954image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length45
Median length3
Mean length3.018142829
Min length3

product/durability
Categorical

MISSING

Distinct count2
Unique (%)0.2%
Missing70003
Missing (%)98.8%
Memory size553.8 KiB
99.999999999%
817
99.99%
 
62
ValueCountFrequency (%) 
99.999999999%8171.2%
 
99.99%620.1%
 
(Missing)7000398.8%
 
2020-08-24T16:41:44.288848image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.117886064
Min length3

product/ecu
Categorical

MISSING

Distinct count4
Unique (%)0.1%
Missing67935
Missing (%)95.8%
Memory size553.8 KiB
37
2358
10
 
341
Variable
 
155
16
 
93
ValueCountFrequency (%) 
3723583.3%
 
103410.5%
 
Variable1550.2%
 
16930.1%
 
(Missing)6793595.8%
 
2020-08-24T16:41:44.670885image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length8
Median length3
Mean length2.971544257
Min length2

product/endpointType
Categorical

MISSING

Distinct count1
Unique (%)7.7%
Missing70869
Missing (%)> 99.9%
Memory size553.8 KiB
SMTP
13
ValueCountFrequency (%) 
SMTP13< 0.1%
 
(Missing)70869> 99.9%
 
2020-08-24T16:41:45.058811image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.000183403
Min length3

product/engineCode
Categorical

MISSING

Distinct count3
Unique (%)0.4%
Missing70161
Missing (%)99.0%
Memory size553.8 KiB
0
288
14
257
21
176
ValueCountFrequency (%) 
02880.4%
 
142570.4%
 
211760.2%
 
(Missing)7016199.0%
 
2020-08-24T16:41:45.424517image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.006108744
Min length3

product/enhancedNetworkingSupported
Boolean

MISSING

Distinct count2
Unique (%)0.1%
Missing67709
Missing (%)95.5%
Memory size553.8 KiB
Yes
 
3018
No
 
155
(Missing)
67709
ValueCountFrequency (%) 
Yes30184.3%
 
No1550.2%
 
(Missing)6770995.5%
 

product/findingGroup
Categorical

MISSING

Distinct count2
Unique (%)5.0%
Missing70842
Missing (%)99.9%
Memory size553.8 KiB
FreeFindingsIngestion
31
PaidFindingsIngestion
9
ValueCountFrequency (%) 
FreeFindingsIngestion31< 0.1%
 
PaidFindingsIngestion9< 0.1%
 
(Missing)7084299.9%
 
2020-08-24T16:41:45.803773image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length21
Median length3
Mean length3.010157727
Min length3

product/findingSource
Categorical

MISSING

Distinct count2
Unique (%)5.0%
Missing70842
Missing (%)99.9%
Memory size553.8 KiB
SecurityHubProduct
31
OtherProduct
9
ValueCountFrequency (%) 
SecurityHubProduct31< 0.1%
 
OtherProduct9< 0.1%
 
(Missing)7084299.9%
 
2020-08-24T16:41:46.171901image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.007702943
Min length3

product/findingStorage
Categorical

MISSING

Distinct count1
Unique (%)2.5%
Missing70842
Missing (%)99.9%
Memory size553.8 KiB
Basic
40
ValueCountFrequency (%) 
Basic400.1%
 
(Missing)7084299.9%
 
2020-08-24T16:41:46.553557image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.001128636
Min length3

product/freeUsageIncluded
Categorical

MISSING

Distinct count1
Unique (%)16.7%
Missing70876
Missing (%)> 99.9%
Memory size553.8 KiB
None
6
ValueCountFrequency (%) 
None6< 0.1%
 
(Missing)70876> 99.9%
 
2020-08-24T16:41:46.918164image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.000084648
Min length3

product/fromLocation
Categorical

MISSING

Distinct count14
Unique (%)0.1%
Missing44579
Missing (%)62.9%
Memory size553.8 KiB
US West (Oregon)
20746
US East (Ohio)
 
1621
External
 
954
US East (N. Virginia)
 
500
United States
 
420
Other values (9)
 
2062
ValueCountFrequency (%) 
US West (Oregon)2074629.3%
 
US East (Ohio)16212.3%
 
External9541.3%
 
US East (N. Virginia)5000.7%
 
United States4200.6%
 
Europe3740.5%
 
Canada2570.4%
 
Asia Pacific2390.3%
 
Japan2290.3%
 
South America2240.3%
 
Other values (4)7391.0%
 
(Missing)4457962.9%
 
2020-08-24T16:41:47.276637image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length21
Median length3
Mean length7.467325978
Min length3

product/fromLocationType
Categorical

MISSING

Distinct count3
Unique (%)< 0.1%
Missing44579
Missing (%)62.9%
Memory size553.8 KiB
AWS Region
22867
AWS Edge Location
 
2482
Other
 
954
ValueCountFrequency (%) 
AWS Region2286732.3%
 
AWS Edge Location24823.5%
 
Other9541.3%
 
(Missing)4457962.9%
 
2020-08-24T16:41:47.636754image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length17
Median length3
Mean length5.775387263
Min length3

product/group
Categorical

MISSING

Distinct count25
Unique (%)0.1%
Missing49638
Missing (%)70.0%
Memory size553.8 KiB
S3-API-Tier2
14335
S3-API-Tier1
 
1039
Ingested Logs
 
873
CW-Requests
 
869
awskms-APIRequest-All
 
794
Other values (20)
3334
ValueCountFrequency (%) 
S3-API-Tier21433520.2%
 
S3-API-Tier110391.5%
 
Ingested Logs8731.2%
 
CW-Requests8691.2%
 
awskms-APIRequest-All7941.1%
 
AWS-Lambda-Edge-Duration7091.0%
 
AWS-Lambda-Edge-Requests7091.0%
 
NGW:NatGateway6200.9%
 
ELB:Balancer4430.6%
 
SNS-Requests-Tier12400.3%
 
Other values (15)6130.9%
 
(Missing)4963870.0%
 
2020-08-24T16:41:48.004009image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length69
Median length3
Mean length6.14004966
Min length3

product/groupDescription
Categorical

MISSING

Distinct count25
Unique (%)0.1%
Missing49732
Missing (%)70.2%
Memory size553.8 KiB
GET and all other requests
14335
PUT/COPY/POST or LIST requests
 
1039
Existing system, application, and custom log files
 
811
All AWS KMS API requests
 
794
Invocation call for a Lambda function
 
713
Other values (20)
3458
ValueCountFrequency (%) 
GET and all other requests1433520.2%
 
PUT/COPY/POST or LIST requests10391.5%
 
Existing system, application, and custom log files8111.1%
 
All AWS KMS API requests7941.1%
 
Invocation call for a Lambda function7131.0%
 
Invocation duration weighted by memory assigned to function, measured in GB-s7131.0%
 
CloudWatch API Requests5280.7%
 
Standard Elastic Load Balancer3410.5%
 
CloudWatch Bulk API Requests3410.5%
 
Charge for per GB data processed by NatGateways3100.4%
 
Other values (15)12251.7%
 
(Missing)4973270.2%
 
2020-08-24T16:41:48.357556image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length85
Median length3
Mean length10.99792613
Min length3

product/includedServices
Categorical

MISSING

Distinct count1
Unique (%)100.0%
Missing70881
Missing (%)> 99.9%
Memory size553.8 KiB
All AWS services except Support
1
ValueCountFrequency (%) 
All AWS services except Support1< 0.1%
 
(Missing)70881> 99.9%
 
2020-08-24T16:41:49.189356image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length31
Median length3
Mean length3.000395023
Min length3

product/instanceFamily
Categorical

MISSING

Distinct count4
Unique (%)0.1%
Missing67461
Missing (%)95.2%
Memory size553.8 KiB
General purpose
3080
Memory optimized
 
186
Compute optimized
 
124
Standard
 
31
ValueCountFrequency (%) 
General purpose30804.3%
 
Memory optimized1860.3%
 
Compute optimized1240.2%
 
Standard31< 0.1%
 
(Missing)6746195.2%
 
2020-08-24T16:41:49.552357image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length17
Median length3
Mean length3.582221156
Min length3

product/instanceType
Categorical

MISSING

Distinct count16
Unique (%)0.5%
Missing67461
Missing (%)95.2%
Memory size553.8 KiB
m5.2xlarge
2358
m5.large
 
217
c5.large
 
124
db.t2.small
 
93
t2.micro
 
93
Other values (11)
536
ValueCountFrequency (%) 
m5.2xlarge23583.3%
 
m5.large2170.3%
 
c5.large1240.2%
 
db.t2.small930.1%
 
t2.micro930.1%
 
m5.xlarge930.1%
 
db.m5.4xlarge660.1%
 
t2.medium620.1%
 
db.r5.4xlarge620.1%
 
db.m5.2xlarge510.1%
 
Other values (6)2020.3%
 
(Missing)6746195.2%
 
2020-08-24T16:41:49.920027image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.343246522
Min length3

product/instanceTypeFamily
Categorical

MISSING

Distinct count6
Unique (%)0.2%
Missing67647
Missing (%)95.4%
Memory size553.8 KiB
m5
2668
M5
 
164
t2
 
155
T2
 
93
R5
 
93
ValueCountFrequency (%) 
m526683.8%
 
M51640.2%
 
t21550.2%
 
T2930.1%
 
R5930.1%
 
c5620.1%
 
(Missing)6764795.4%
 
2020-08-24T16:41:50.288058image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.954360769
Min length2

product/intelAvx2Available
Boolean

MISSING

Distinct count2
Unique (%)0.1%
Missing67935
Missing (%)95.8%
Memory size553.8 KiB
Yes
 
2792
No
 
155
(Missing)
67935
ValueCountFrequency (%) 
Yes27923.9%
 
No1550.2%
 
(Missing)6793595.8%
 

product/intelAvxAvailable
Categorical

MISSING

Distinct count1
Unique (%)< 0.1%
Missing67935
Missing (%)95.8%
Memory size553.8 KiB
Yes
2947
ValueCountFrequency (%) 
Yes29474.2%
 
(Missing)6793595.8%
 
2020-08-24T16:41:50.674893image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

product/intelTurboAvailable
Categorical

MISSING

Distinct count1
Unique (%)< 0.1%
Missing67935
Missing (%)95.8%
Memory size553.8 KiB
Yes
2947
ValueCountFrequency (%) 
Yes29474.2%
 
(Missing)6793595.8%
 
2020-08-24T16:41:51.071128image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

product/launchSupport
Categorical

MISSING

Distinct count1
Unique (%)100.0%
Missing70881
Missing (%)> 99.9%
Memory size553.8 KiB
Not included
1
ValueCountFrequency (%) 
Not included1< 0.1%
 
(Missing)70881> 99.9%
 
2020-08-24T16:41:51.463667image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.000126972
Min length3

product/licenseModel
Categorical

MISSING

Distinct count2
Unique (%)0.1%
Missing67647
Missing (%)95.4%
Memory size553.8 KiB
No License required
2885
No license required
 
350
ValueCountFrequency (%) 
No License required28854.1%
 
No license required3500.5%
 
(Missing)6764795.4%
 
2020-08-24T16:41:51.857952image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length19
Median length3
Mean length3.730227702
Min length3

product/location
Categorical

MISSING

Distinct count27
Unique (%)0.1%
Missing34726
Missing (%)49.0%
Memory size553.8 KiB
US West (Oregon)
24823
US East (N. Virginia)
 
2876
US East (Ohio)
 
2244
United States
 
524
Europe
 
456
Other values (22)
5233
ValueCountFrequency (%) 
US West (Oregon)2482335.0%
 
US East (N. Virginia)28764.1%
 
US East (Ohio)22443.2%
 
United States5240.7%
 
Europe4560.6%
 
EU (Frankfurt)3960.6%
 
Asia Pacific (Tokyo)3780.5%
 
South America (Sao Paulo)3750.5%
 
Asia Pacific (Seoul)3720.5%
 
Asia Pacific (Sydney)3720.5%
 
Other values (17)33404.7%
 
(Missing)3472649.0%
 
2020-08-24T16:41:52.251348image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length25
Median length6
Mean length9.632840495
Min length3

product/locationType
Categorical

MISSING

Distinct count3
Unique (%)< 0.1%
Missing34726
Missing (%)49.0%
Memory size553.8 KiB
AWS Region
33262
AWS Edge Location
 
2893
Other
 
1
ValueCountFrequency (%) 
AWS Region3326246.9%
 
AWS Edge Location28934.1%
 
Other1< 0.1%
 
(Missing)3472649.0%
 
2020-08-24T16:41:52.658955image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length17
Median length10
Mean length6.856239948
Min length3

product/maxIopsBurstPerformance
Categorical

MISSING

Distinct count1
Unique (%)< 0.1%
Missing67597
Missing (%)95.4%
Memory size553.8 KiB
3000 for volumes <= 1 TiB
3285
ValueCountFrequency (%) 
3000 for volumes <= 1 TiB32854.6%
 
(Missing)6759795.4%
 
2020-08-24T16:41:53.027949image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length25
Median length3
Mean length4.01958184
Min length3

product/maxIopsvolume
Categorical

MISSING

Distinct count1
Unique (%)< 0.1%
Missing67597
Missing (%)95.4%
Memory size553.8 KiB
16000
3285
ValueCountFrequency (%) 
1600032854.6%
 
(Missing)6759795.4%
 
2020-08-24T16:41:53.413798image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.185378516
Min length3

product/maxThroughputvolume
Categorical

MISSING

Distinct count1
Unique (%)< 0.1%
Missing67597
Missing (%)95.4%
Memory size553.8 KiB
250 MiB/s
3285
ValueCountFrequency (%) 
250 MiB/s32854.6%
 
(Missing)6759795.4%
 
2020-08-24T16:41:53.808345image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.278067775
Min length3

product/maxVolumeSize
Categorical

MISSING

Distinct count3
Unique (%)0.1%
Missing67309
Missing (%)95.0%
Memory size553.8 KiB
16 TiB
3285
16 TB
 
257
64 TB
 
31
ValueCountFrequency (%) 
16 TiB32854.6%
 
16 TB2570.4%
 
64 TB31< 0.1%
 
(Missing)6730995.0%
 
2020-08-24T16:41:54.193473image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.147160069
Min length3

product/memory
Categorical

MISSING

Distinct count13
Unique (%)0.4%
Missing67461
Missing (%)95.2%
Memory size553.8 KiB
32 GiB
2409
8 GiB
 
217
4 GiB
 
186
16 GiB
 
140
1 GiB
 
93
Other values (8)
 
376
ValueCountFrequency (%) 
32 GiB24093.4%
 
8 GiB2170.3%
 
4 GiB1860.3%
 
16 GiB1400.2%
 
1 GiB930.1%
 
2 GiB930.1%
 
64 GiB660.1%
 
128 GiB620.1%
 
256 GiB31< 0.1%
 
13.07 GiB31< 0.1%
 
Other values (3)930.1%
 
(Missing)6746195.2%
 
2020-08-24T16:41:54.584309image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.143040546
Min length3

product/messageDeliveryFrequency
Categorical

MISSING

Distinct count1
Unique (%)1.6%
Missing70820
Missing (%)99.9%
Memory size553.8 KiB
At Least Once
62
ValueCountFrequency (%) 
At Least Once620.1%
 
(Missing)7082099.9%
 
2020-08-24T16:41:54.963932image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.008746932
Min length3

product/messageDeliveryOrder
Categorical

MISSING

Distinct count1
Unique (%)1.6%
Missing70820
Missing (%)99.9%
Memory size553.8 KiB
Not Guaranteed
62
ValueCountFrequency (%) 
Not Guaranteed620.1%
 
(Missing)7082099.9%
 
2020-08-24T16:41:55.336833image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length14
Median length3
Mean length3.009621625
Min length3

product/minVolumeSize
Categorical

MISSING

Distinct count3
Unique (%)1.0%
Missing70594
Missing (%)99.6%
Memory size553.8 KiB
5 GB
226
100 GB
 
31
10 GB
 
31
ValueCountFrequency (%) 
5 GB2260.3%
 
100 GB31< 0.1%
 
10 GB31< 0.1%
 
(Missing)7059499.6%
 
2020-08-24T16:41:55.717601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.00537513
Min length3

product/networkPerformance
Categorical

MISSING

Distinct count3
Unique (%)0.1%
Missing67461
Missing (%)95.2%
Memory size553.8 KiB
Up to 10 Gigabit
3111
Low to Moderate
 
279
10 Gigabit
 
31
ValueCountFrequency (%) 
Up to 10 Gigabit31114.4%
 
Low to Moderate2790.4%
 
10 Gigabit31< 0.1%
 
(Missing)6746195.2%
 
2020-08-24T16:41:56.086024image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.620862842
Min length3

product/normalizationSizeFactor
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct count7
Unique (%)0.2%
Missing67585
Missing (%)95.3%
Infinite0
Infinite (%)0.0%
Mean13.916742493175613
Minimum0.5
Maximum32.0
Zeros0
Zeros (%)0.0%
Memory size553.8 KiB
2020-08-24T16:41:56.172585image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile1
Q116
median16
Q316
95-th percentile16
Maximum32
Range31.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.327034858
Coefficient of variation (CV)0.4546347581
Kurtosis1.55986649
Mean13.91674249
Median Absolute Deviation (MAD)0
Skewness-0.1348886375
Sum45883.5
Variance40.03137009
2020-08-24T16:41:56.266385image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1624403.4%
 
43410.5%
 
81400.2%
 
321280.2%
 
1930.1%
 
0.5930.1%
 
2620.1%
 
(Missing)6758595.3%
 
ValueCountFrequency (%) 
0.5930.1%
 
1930.1%
 
2620.1%
 
43410.5%
 
81400.2%
 
ValueCountFrequency (%) 
321280.2%
 
1624403.4%
 
81400.2%
 
43410.5%
 
2620.1%
 

product/operatingSystem
Categorical

MISSING

Distinct count1
Unique (%)< 0.1%
Missing67997
Missing (%)95.9%
Memory size553.8 KiB
Linux
2885
ValueCountFrequency (%) 
Linux28854.1%
 
(Missing)6799795.9%
 
2020-08-24T16:41:56.665587image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.081402895
Min length3

product/operation
Categorical

MISSING

Distinct count13
Unique (%)0.2%
Missing64465
Missing (%)90.9%
Memory size553.8 KiB
RunInstances
2885
PutLogEvents
873
NatGateway
620
LoadBalancing
 
565
GetMetricData
 
341
Other values (8)
1133
ValueCountFrequency (%) 
RunInstances28854.1%
 
PutLogEvents8731.2%
 
NatGateway6200.9%
 
LoadBalancing5650.8%
 
GetMetricData3410.5%
 
CreateDBInstance2880.4%
 
CreateDBInstance:00142570.4%
 
CreateDBInstance:00211760.2%
 
CreateCacheCluster:00021240.2%
 
LoadBalancing:Application1020.1%
 
Other values (3)1860.3%
 
(Missing)6446590.9%
 
2020-08-24T16:41:57.049432image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length25
Median length3
Mean length3.908749753
Min length3

product/operationsSupport
Categorical

MISSING

Distinct count1
Unique (%)100.0%
Missing70881
Missing (%)> 99.9%
Memory size553.8 KiB
Not included
1
ValueCountFrequency (%) 
Not included1< 0.1%
 
(Missing)70881> 99.9%
 
2020-08-24T16:41:57.407925image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.000126972
Min length3

product/physicalProcessor
Categorical

MISSING

Distinct count4
Unique (%)0.1%
Missing67585
Missing (%)95.3%
Memory size553.8 KiB
Intel Xeon Platinum 8175 (Skylake)
2668
Intel Xeon Platinum 8175
 
257
Intel Xeon Family
 
248
Intel Xeon Platinum 8124M
 
124
ValueCountFrequency (%) 
Intel Xeon Platinum 8175 (Skylake)26683.8%
 
Intel Xeon Platinum 81752570.4%
 
Intel Xeon Family2480.3%
 
Intel Xeon Platinum 8124M1240.2%
 
(Missing)6758595.3%
 
2020-08-24T16:41:57.813585image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length34
Median length3
Mean length4.330450608
Min length3

product/preInstalledSw
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

product/proactiveGuidance
Categorical

MISSING

Distinct count1
Unique (%)100.0%
Missing70881
Missing (%)> 99.9%
Memory size553.8 KiB
Not included
1
ValueCountFrequency (%) 
Not included1< 0.1%
 
(Missing)70881> 99.9%
 
2020-08-24T16:41:58.187597image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.000126972
Min length3

product/processorArchitecture
Categorical

MISSING

Distinct count2
Unique (%)0.1%
Missing67585
Missing (%)95.3%
Memory size553.8 KiB
64-bit
3049
32-bit or 64-bit
 
248
ValueCountFrequency (%) 
64-bit30494.3%
 
32-bit or 64-bit2480.3%
 
(Missing)6758595.3%
 
2020-08-24T16:41:58.550286image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.1745295
Min length3

product/processorFeatures
Categorical

MISSING

Distinct count3
Unique (%)0.1%
Missing67678
Missing (%)95.5%
Memory size553.8 KiB
Intel AVX; Intel AVX2; Intel AVX512; Intel Turbo
2792
Intel AVX; Intel Turbo
 
248
Intel AVX, Intel AVX2, Intel AVX512, Intel Turbo
 
164
ValueCountFrequency (%) 
Intel AVX; Intel AVX2; Intel AVX512; Intel Turbo27923.9%
 
Intel AVX; Intel Turbo2480.3%
 
Intel AVX, Intel AVX2, Intel AVX512, Intel Turbo1640.2%
 
(Missing)6767895.5%
 
2020-08-24T16:41:58.919512image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length48
Median length3
Mean length4.943116729
Min length3

product/productFamily
Categorical

Distinct count38
Unique (%)0.1%
Missing182
Missing (%)0.3%
Memory size553.8 KiB
Data Transfer
26303
API Request
17339
DNS Query
8160
Storage
 
4195
Compute Instance
 
2947
Other values (33)
11756
ValueCountFrequency (%) 
Data Transfer2630337.1%
 
API Request1733924.5%
 
DNS Query816011.5%
 
Storage41955.9%
 
Compute Instance29474.2%
 
Request28934.1%
 
Storage Snapshot18262.6%
 
EC2 Container Registry14712.1%
 
Serverless14262.0%
 
Data Payload8731.2%
 
Other values (28)32674.6%
 
2020-08-24T16:41:59.291550image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length54
Median length12
Mean length12.16496431
Min length3

product/programmaticCaseManagement
Categorical

MISSING

Distinct count1
Unique (%)100.0%
Missing70881
Missing (%)> 99.9%
Memory size553.8 KiB
Not included
1
ValueCountFrequency (%) 
Not included1< 0.1%
 
(Missing)70881> 99.9%
 
2020-08-24T16:41:59.665819image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.000126972
Min length3

product/queueType
Categorical

MISSING

Distinct count1
Unique (%)1.6%
Missing70820
Missing (%)99.9%
Memory size553.8 KiB
Standard
62
ValueCountFrequency (%) 
Standard620.1%
 
(Missing)7082099.9%
 
2020-08-24T16:42:00.024810image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.004373466
Min length3

product/region
Categorical

Distinct count17
Unique (%)< 0.1%
Missing182
Missing (%)0.3%
Memory size553.8 KiB
us-west-2
46523
global
 
8242
us-east-1
 
4320
us-east-2
 
3865
ap-southeast-1
 
920
Other values (12)
 
6830
ValueCountFrequency (%) 
us-west-24652365.6%
 
global824211.6%
 
us-east-143206.1%
 
us-east-238655.5%
 
ap-southeast-19201.3%
 
eu-west-18921.3%
 
ap-northeast-18891.3%
 
sa-east-18671.2%
 
ap-south-18431.2%
 
ap-southeast-27481.1%
 
Other values (7)25913.7%
 
2020-08-24T16:42:00.397650image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length14
Median length9
Mean length8.911472588
Min length3

product/requestDescription
Categorical

MISSING

Distinct count4
Unique (%)0.1%
Missing67989
Missing (%)95.9%
Memory size553.8 KiB
HTTPS GET and HEAD requests
1301
HTTP GET and HEAD requests
851
HTTPS DELETE, OPTIONS, PATCH, POST, and PUT requests that CloudFront forwards to your origin
396
HTTP DELETE, OPTIONS, PATCH, POST, and PUT requests that CloudFront forwards to your origin
345
ValueCountFrequency (%) 
HTTPS GET and HEAD requests13011.8%
 
HTTP GET and HEAD requests8511.2%
 
HTTPS DELETE, OPTIONS, PATCH, POST, and PUT requests that CloudFront forwards to your origin3960.6%
 
HTTP DELETE, OPTIONS, PATCH, POST, and PUT requests that CloudFront forwards to your origin3450.5%
 
(Missing)6798995.9%
 
2020-08-24T16:42:00.766516image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length92
Median length3
Mean length4.642179961
Min length3

product/requestType
Categorical

MISSING

Distinct count4
Unique (%)0.1%
Missing67989
Missing (%)95.9%
Memory size553.8 KiB
CloudFront-Request-Tier2
1301
CloudFront-Request-Tier1
851
CloudFront-Request-HTTPS-Proxy
396
CloudFront-Request-HTTP-Proxy
345
ValueCountFrequency (%) 
CloudFront-Request-Tier213011.8%
 
CloudFront-Request-Tier18511.2%
 
CloudFront-Request-HTTPS-Proxy3960.6%
 
CloudFront-Request-HTTP-Proxy3450.5%
 
(Missing)6798995.9%
 
2020-08-24T16:42:01.129770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length30
Median length3
Mean length3.914957253
Min length3

product/resourceEndpoint
Categorical

MISSING

Distinct count1
Unique (%)3.2%
Missing70851
Missing (%)> 99.9%
Memory size553.8 KiB
AWS
31
ValueCountFrequency (%) 
AWS31< 0.1%
 
(Missing)70851> 99.9%
 
2020-08-24T16:42:01.487314image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

product/routingTarget
Categorical

MISSING

Distinct count2
Unique (%)< 0.1%
Missing62722
Missing (%)88.5%
Memory size553.8 KiB
External
7337
AWS Infrastructure
 
823
ValueCountFrequency (%) 
External733710.4%
 
AWS Infrastructure8231.2%
 
(Missing)6272288.5%
 
2020-08-24T16:42:01.863008image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.691712988
Min length3

product/routingType
Categorical

MISSING

Distinct count1
Unique (%)< 0.1%
Missing62722
Missing (%)88.5%
Memory size553.8 KiB
Standard
8160
ValueCountFrequency (%) 
Standard816011.5%
 
(Missing)6272288.5%
 
2020-08-24T16:42:02.217964image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.575604526
Min length3

product/servicecode
Categorical

Distinct count22
Unique (%)< 0.1%
Missing182
Missing (%)0.3%
Memory size553.8 KiB
AWSDataTransfer
23821
AmazonS3
16253
AmazonRoute53
8223
AmazonEC2
7830
AmazonCloudFront
6811
Other values (17)
7762
ValueCountFrequency (%) 
AWSDataTransfer2382133.6%
 
AmazonS31625322.9%
 
AmazonRoute53822311.6%
 
AmazonEC2783011.0%
 
AmazonCloudFront68119.6%
 
AmazonCloudWatch31104.4%
 
AmazonECR14712.1%
 
AmazonRDS9611.4%
 
awskms8251.2%
 
AWSCloudTrail5590.8%
 
Other values (12)8361.2%
 
2020-08-24T16:42:02.592927image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length19
Median length13
Mean length12.24584521
Min length3

product/servicename
Categorical

Distinct count21
Unique (%)< 0.1%
Missing183
Missing (%)0.3%
Memory size553.8 KiB
AWS Data Transfer
23821
Amazon Simple Storage Service
16253
Amazon Route 53
8223
Amazon Elastic Compute Cloud
7830
Amazon CloudFront
6811
Other values (16)
7761
ValueCountFrequency (%) 
AWS Data Transfer2382133.6%
 
Amazon Simple Storage Service1625322.9%
 
Amazon Route 53822311.6%
 
Amazon Elastic Compute Cloud783011.0%
 
Amazon CloudFront68119.6%
 
AmazonCloudWatch31104.4%
 
Amazon EC2 Container Registry (ECR)14712.1%
 
Amazon Relational Database Service9611.4%
 
AWS Key Management Service8251.2%
 
AWS CloudTrail5590.8%
 
Other values (11)8351.2%
 
2020-08-24T16:42:02.959808image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length70
Median length17
Mean length21.49957676
Min length3

product/sku
Categorical

HIGH CARDINALITY

Distinct count280
Unique (%)0.4%
Missing182
Missing (%)0.3%
Memory size553.8 KiB
E77AQEM2DC4VV3FC
10521
JHRA6QBEDT9FZVT5
 
7337
62WNQUZDQQ6GRJC5
 
6652
EAUDKWWNQJZTV253
 
6114
AUJG8J97AVK3PF8K
 
3285
Other values (275)
36791
ValueCountFrequency (%) 
E77AQEM2DC4VV3FC1052114.8%
 
JHRA6QBEDT9FZVT5733710.4%
 
62WNQUZDQQ6GRJC566529.4%
 
EAUDKWWNQJZTV25361148.6%
 
AUJG8J97AVK3PF8K32854.6%
 
PS6J5UCPGRFJTMMR23583.3%
 
ZWQ6Q48CRJXX4FXE22603.2%
 
5M4327XEUKBBTWAT15952.3%
 
DJEKB32FV4HNZJZY15542.2%
 
2BSQ677HKG6WUUKA14712.1%
 
Other values (270)2755338.9%
 
2020-08-24T16:42:03.329104image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length16
Median length16
Mean length15.96662058
Min length3

product/standardGroup
Categorical

MISSING

Distinct count1
Unique (%)3.2%
Missing70851
Missing (%)> 99.9%
Memory size553.8 KiB
PaidComplianceCheck
31
ValueCountFrequency (%) 
PaidComplianceCheck31< 0.1%
 
(Missing)70851> 99.9%
 
2020-08-24T16:42:03.702860image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length19
Median length3
Mean length3.006997545
Min length3

product/standardStorage
Categorical

MISSING

Distinct count1
Unique (%)3.2%
Missing70851
Missing (%)> 99.9%
Memory size553.8 KiB
Basic
31
ValueCountFrequency (%) 
Basic31< 0.1%
 
(Missing)70851> 99.9%
 
2020-08-24T16:42:04.074732image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.000874693
Min length3

product/storage
Categorical

MISSING

Distinct count2
Unique (%)0.1%
Missing67585
Missing (%)95.3%
Memory size553.8 KiB
EBS only
2947
EBS Only
 
350
ValueCountFrequency (%) 
EBS only29474.2%
 
EBS Only3500.5%
 
(Missing)6758595.3%
 
2020-08-24T16:42:04.470262image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.232569623
Min length3

product/storageClass
Categorical

MISSING

Distinct count2
Unique (%)0.2%
Missing69972
Missing (%)98.7%
Memory size553.8 KiB
General Purpose
848
Non-Critical Data
 
62
ValueCountFrequency (%) 
General Purpose8481.2%
 
Non-Critical Data620.1%
 
(Missing)6997298.7%
 
2020-08-24T16:42:04.849683image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length17
Median length3
Mean length3.155808245
Min length3

product/storageFamily
Categorical

MISSING

Distinct count1
Unique (%)1.6%
Missing70820
Missing (%)99.9%
Memory size553.8 KiB
GP2
62
ValueCountFrequency (%) 
GP2620.1%
 
(Missing)7082099.9%
 
2020-08-24T16:42:05.211209image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

product/storageMedia
Categorical

MISSING

Distinct count4
Unique (%)0.1%
Missing65483
Missing (%)92.4%
Memory size553.8 KiB
SSD-backed
3285
Amazon S3
1583
SSD
 
288
AmazonS3
 
243
ValueCountFrequency (%) 
SSD-backed32854.6%
 
Amazon S315832.2%
 
SSD2880.4%
 
AmazonS32430.3%
 
(Missing)6548392.4%
 
2020-08-24T16:42:05.575235image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.475550916
Min length3

product/storageType
Categorical

MISSING

Distinct count1
Unique (%)0.1%
Missing69411
Missing (%)97.9%
Memory size553.8 KiB
S3
1471
ValueCountFrequency (%) 
S314712.1%
 
(Missing)6941197.9%
 
2020-08-24T16:42:05.942899image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9792472
Min length2

product/technicalSupport
Categorical

MISSING

Distinct count1
Unique (%)100.0%
Missing70881
Missing (%)> 99.9%
Memory size553.8 KiB
Business hours access to Cloud Support Associates via email
1
ValueCountFrequency (%) 
Business hours access to Cloud Support Associates via email1< 0.1%
 
(Missing)70881> 99.9%
 
2020-08-24T16:42:06.300708image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length59
Median length3
Mean length3.000790045
Min length3

product/tenancy
Categorical

MISSING

Distinct count1
Unique (%)< 0.1%
Missing67997
Missing (%)95.9%
Memory size553.8 KiB
Shared
2885
ValueCountFrequency (%) 
Shared28854.1%
 
(Missing)6799795.9%
 
2020-08-24T16:42:06.685569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.122104342
Min length3

product/thirdpartySoftwareSupport
Categorical

MISSING

Distinct count1
Unique (%)100.0%
Missing70881
Missing (%)> 99.9%
Memory size553.8 KiB
Not included
1
ValueCountFrequency (%) 
Not included1< 0.1%
 
(Missing)70881> 99.9%
 
2020-08-24T16:42:07.061351image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.000126972
Min length3

product/toLocation
Categorical

MISSING

Distinct count26
Unique (%)0.1%
Missing44579
Missing (%)62.9%
Memory size553.8 KiB
US East (N. Virginia)
8389
US West (Oregon)
8335
External
3392
Amazon CloudFront
 
888
Data Origin
 
731
Other values (21)
4568
ValueCountFrequency (%) 
US East (N. Virginia)838911.8%
 
US West (Oregon)833511.8%
 
External33924.8%
 
Amazon CloudFront8881.3%
 
Data Origin7311.0%
 
EU (Ireland)6050.9%
 
US West (N. California)5660.8%
 
EU (Frankfurt)5310.7%
 
South America (Sao Paulo)4350.6%
 
Asia Pacific (Sydney)3800.5%
 
Other values (16)20512.9%
 
(Missing)4457962.9%
 
2020-08-24T16:42:07.415646image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length26
Median length3
Mean length8.130399819
Min length3

product/toLocationType
Categorical

MISSING

Distinct count3
Unique (%)< 0.1%
Missing44579
Missing (%)62.9%
Memory size553.8 KiB
AWS Region
21292
Other
 
4123
AWS Edge Location
 
888
ValueCountFrequency (%) 
AWS Region2129230.0%
 
Other41235.8%
 
AWS Edge Location8881.3%
 
(Missing)4457962.9%
 
2020-08-24T16:42:07.783019image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length17
Median length3
Mean length5.39443018
Min length3

product/training
Categorical

MISSING

Distinct count1
Unique (%)100.0%
Missing70881
Missing (%)> 99.9%
Memory size553.8 KiB
Not included
1
ValueCountFrequency (%) 
Not included1< 0.1%
 
(Missing)70881> 99.9%
 
2020-08-24T16:42:08.142121image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.000126972
Min length3

product/transferType
Categorical

MISSING

Distinct count7
Unique (%)< 0.1%
Missing44579
Missing (%)62.9%
Memory size553.8 KiB
InterRegion Outbound
10365
IntraRegion
6652
InterRegion Inbound
4209
CloudFront Outbound
 
1751
AWS Outbound
 
1641
Other values (2)
 
1685
ValueCountFrequency (%) 
InterRegion Outbound1036514.6%
 
IntraRegion66529.4%
 
InterRegion Inbound42095.9%
 
CloudFront Outbound17512.5%
 
AWS Outbound16412.3%
 
AWS Inbound9541.3%
 
CloudFront to Origin7311.0%
 
(Missing)4457962.9%
 
2020-08-24T16:42:08.516902image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length20
Median length3
Mean length8.073347253
Min length3

product/usagetype
Categorical

HIGH CARDINALITY

Distinct count272
Unique (%)0.4%
Missing182
Missing (%)0.3%
Memory size553.8 KiB
USW2-Requests-Tier2
10521
DNS-Queries
 
7337
USW2-DataTransfer-Regional-Bytes
 
6652
USW2-USE1-AWS-Out-Bytes
 
6114
USW2-EBS:VolumeUsage.gp2
 
3285
Other values (267)
36791
ValueCountFrequency (%) 
USW2-Requests-Tier21052114.8%
 
DNS-Queries733710.4%
 
USW2-DataTransfer-Regional-Bytes66529.4%
 
USW2-USE1-AWS-Out-Bytes61148.6%
 
USW2-EBS:VolumeUsage.gp232854.6%
 
USW2-TimedStorage-ByteHrs25683.6%
 
USW2-BoxUsage:m5.2xlarge23583.3%
 
Requests-Tier222603.2%
 
USW2-DataTransfer-Out-Bytes15952.3%
 
USE2-Requests-Tier215542.2%
 
Other values (262)2645637.3%
 
2020-08-24T16:42:08.884706image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length45
Median length23
Mean length21.71279027
Min length3

product/vcpu
Real number (ℝ≥0)

MISSING

Distinct count6
Unique (%)0.2%
Missing67461
Missing (%)95.2%
Infinite0
Infinite (%)0.0%
Mean7.11166325635779
Minimum1.0
Maximum32.0
Zeros0
Zeros (%)0.0%
Memory size553.8 KiB
2020-08-24T16:42:08.963150image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum32
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.912094929
Coefficient of variation (CV)0.550095637
Kurtosis13.64206354
Mean7.111663256
Median Absolute Deviation (MAD)0
Skewness2.232404006
Sum24329
Variance15.30448674
2020-08-24T16:42:09.050659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
824403.4%
 
24340.6%
 
12170.3%
 
41710.2%
 
161280.2%
 
3231< 0.1%
 
(Missing)6746195.2%
 
ValueCountFrequency (%) 
12170.3%
 
24340.6%
 
41710.2%
 
824403.4%
 
161280.2%
 
ValueCountFrequency (%) 
3231< 0.1%
 
161280.2%
 
824403.4%
 
41710.2%
 
24340.6%
 

product/version
Categorical

MISSING

Distinct count1
Unique (%)< 0.1%
Missing68705
Missing (%)96.9%
Memory size553.8 KiB
Current
2177
ValueCountFrequency (%) 
Current21773.1%
 
(Missing)6870596.9%
 
2020-08-24T16:42:09.413828image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.122852064
Min length3

product/volumeApiName
Categorical

MISSING

Distinct count1
Unique (%)< 0.1%
Missing67597
Missing (%)95.4%
Memory size553.8 KiB
gp2
3285
ValueCountFrequency (%) 
gp232854.6%
 
(Missing)6759795.4%
 
2020-08-24T16:42:09.779751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

product/volumeType
Categorical

MISSING

Distinct count5
Unique (%)0.1%
Missing66430
Missing (%)93.7%
Memory size553.8 KiB
General Purpose
3511
Standard
817
Reduced Redundancy
 
62
Provisioned IOPS
 
31
General Purpose-Aurora
 
31
ValueCountFrequency (%) 
General Purpose35115.0%
 
Standard8171.2%
 
Reduced Redundancy620.1%
 
Provisioned IOPS31< 0.1%
 
General Purpose-Aurora31< 0.1%
 
(Missing)6643093.7%
 
2020-08-24T16:42:10.144396image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length22
Median length3
Mean length3.679142801
Min length3

product/whoCanOpenCases
Categorical

MISSING

Distinct count1
Unique (%)100.0%
Missing70881
Missing (%)> 99.9%
Memory size553.8 KiB
One primary contact/Unlimited cases
1
ValueCountFrequency (%) 
One primary contact/Unlimited cases1< 0.1%
 
(Missing)70881> 99.9%
 
2020-08-24T16:42:10.508111image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length35
Median length3
Mean length3.000451455
Min length3

pricing/RateId
Real number (ℝ≥0)

Distinct count290
Unique (%)0.4%
Missing182
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1914846987.7511456
Minimum247819116.0
Maximum2057326670.0
Zeros0
Zeros (%)0.0%
Memory size553.8 KiB
2020-08-24T16:42:10.596132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum247819116
5-th percentile1686268289
Q11686680510
median2004696286
Q32057319094
95-th percentile2057319247
Maximum2057326670
Range1809507554
Interquartile range (IQR)370638584

Descriptive statistics

Standard deviation158368056.4
Coefficient of variation (CV)0.08270533228
Kurtosis-1.334084168
Mean1914846988
Median Absolute Deviation (MAD)52622949
Skewness-0.5855888235
Sum1.35379682e+14
Variance2.508044128e+16
2020-08-24T16:42:10.687328image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
16862688261052114.8%
 
2003252859733710.4%
 
205731909466529.4%
 
205731924761148.6%
 
200470658632854.6%
 
200470764723583.3%
 
168626792722603.2%
 
205731915515902.2%
 
168626828915542.2%
 
168668051014712.1%
 
Other values (280)2755838.9%
 
ValueCountFrequency (%) 
2478191161< 0.1%
 
16366050304< 0.1%
 
16366050494< 0.1%
 
165513253231< 0.1%
 
165513253631< 0.1%
 
ValueCountFrequency (%) 
20573266702170.3%
 
205732657213441.9%
 
2057326508600.1%
 
20573264651< 0.1%
 
20573264604510.6%
 

pricing/currency
Categorical

Distinct count1
Unique (%)< 0.1%
Missing183
Missing (%)0.3%
Memory size553.8 KiB
USD
70699
ValueCountFrequency (%) 
USD7069999.7%
 
(Missing)1830.3%
 
2020-08-24T16:42:11.044123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

pricing/publicOnDemandCost
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count20269
Unique (%)28.7%
Missing182
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean41.59567433158622
Minimum0.0
Maximum2842119.3519614274
Zeros7135
Zeros (%)10.1%
Memory size553.8 KiB
2020-08-24T16:42:11.132507image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14e-07
median9.6e-06
Q30.03999641575
95-th percentile6.369887373
Maximum2842119.352
Range2842119.352
Interquartile range (IQR)0.03999601575

Descriptive statistics

Standard deviation10688.89481
Coefficient of variation (CV)256.9713074
Kurtosis70699.73185
Mean41.59567433
Median Absolute Deviation (MAD)9.6e-06
Skewness265.8939597
Sum2940814.175
Variance114252472.3
2020-08-24T16:42:11.221795image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0713510.1%
 
9.6e-0644156.2%
 
4e-0735835.1%
 
8e-0720622.9%
 
9.21613962.0%
 
0.412903225913962.0%
 
1.2e-069951.4%
 
1.6e-067591.1%
 
1e-057291.0%
 
1.292e-077141.0%
 
Other values (20259)4751667.0%
 
ValueCountFrequency (%) 
0713510.1%
 
2e-10620.1%
 
3e-1024< 0.1%
 
4e-107< 0.1%
 
5e-1010< 0.1%
 
ValueCountFrequency (%) 
2842119.3521< 0.1%
 
824.81240581< 0.1%
 
815.41013681< 0.1%
 
813.95462721< 0.1%
 
799.71539641< 0.1%
 

pricing/publicOnDemandRate
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count82
Unique (%)0.1%
Missing182
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.04930191070023762
Minimum0.0
Maximum29.0
Zeros7109
Zeros (%)10.0%
Memory size553.8 KiB
2020-08-24T16:42:11.303981image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14e-07
median1e-05
Q30.02
95-th percentile0.384
Maximum29
Range29
Interquartile range (IQR)0.0199996

Descriptive statistics

Standard deviation0.2008497029
Coefficient of variation (CV)4.073872596
Kurtosis6243.241493
Mean0.0493019107
Median Absolute Deviation (MAD)1e-05
Skewness50.04531563
Sum3485.645087
Variance0.04034060316
2020-08-24T16:42:11.395337image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
4e-072173430.7%
 
0.02877412.4%
 
0.01799711.3%
 
0710910.0%
 
0.149126.9%
 
0.38423583.3%
 
0.0916412.3%
 
5e-0610391.5%
 
1.2e-069331.3%
 
1e-058251.2%
 
Other values (72)1337818.9%
 
ValueCountFrequency (%) 
0710910.0%
 
2e-0735< 0.1%
 
4e-072173430.7%
 
5e-072400.3%
 
6e-077091.0%
 
ValueCountFrequency (%) 
291< 0.1%
 
4.6431< 0.1%
 
2.32620.1%
 
1.6831< 0.1%
 
1.424660.1%
 

pricing/term
Categorical

MISSING

Distinct count1
Unique (%)< 0.1%
Missing1325
Missing (%)1.9%
Memory size553.8 KiB
OnDemand
69557
ValueCountFrequency (%) 
OnDemand6955798.1%
 
(Missing)13251.9%
 
2020-08-24T16:42:11.755470image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.906534804
Min length3

pricing/unit
Categorical

Distinct count28
Unique (%)< 0.1%
Missing182
Missing (%)0.3%
Memory size553.8 KiB
GB
27742
Requests
19895
Queries
8160
GB-Mo
7842
Hrs
 
4166
Other values (23)
 
2895
ValueCountFrequency (%) 
GB2774239.1%
 
Requests1989528.1%
 
Queries816011.5%
 
GB-Mo784211.1%
 
Hrs41665.9%
 
Request7091.0%
 
Lambda-GB-Second7091.0%
 
Events5900.8%
 
Metrics3730.5%
 
hours620.1%
 
Other values (18)4520.6%
 
(Missing)1820.3%
 
2020-08-24T16:42:12.107825image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length30
Median length5
Mean length4.963545047
Min length2

reservation/AmortizedUpfrontCostForUsage
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

reservation/AmortizedUpfrontFeeForBillingPeriod
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

reservation/EffectiveCost
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

reservation/EndTime
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

reservation/ModificationStatus
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

reservation/NormalizedUnitsPerReservation
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

reservation/NumberOfReservations
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

reservation/RecurringFeeForUsage
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

reservation/StartTime
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

reservation/SubscriptionId
Real number (ℝ≥0)

Distinct count22
Unique (%)< 0.1%
Missing182
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean546923470.151669
Minimum272109664.0
Maximum1806093052.0
Zeros0
Zeros (%)0.0%
Memory size553.8 KiB
2020-08-24T16:42:12.195390image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum272109664
5-th percentile272109675
Q1605452402
median605452402
Q3605452408
95-th percentile605452419
Maximum1806093052
Range1533983388
Interquartile range (IQR)6

Descriptive statistics

Standard deviation142534644.8
Coefficient of variation (CV)0.2606116808
Kurtosis9.91259323
Mean546923470.2
Median Absolute Deviation (MAD)6
Skewness0.04536883639
Sum3.866748934e+13
Variance2.031612498e+16
2020-08-24T16:42:12.297597image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
6054524022382133.6%
 
6054524081625322.9%
 
272109675822311.6%
 
605452414783011.0%
 
60545241968119.6%
 
27210969431104.4%
 
60545248414712.1%
 
6054524239611.4%
 
2721096988251.2%
 
2721097205590.8%
 
Other values (12)8361.2%
 
ValueCountFrequency (%) 
272109664620.1%
 
2721096722530.4%
 
272109675822311.6%
 
27210969431104.4%
 
2721096988251.2%
 
ValueCountFrequency (%) 
1806093052710.1%
 
15344307511240.2%
 
116619019131< 0.1%
 
10361683301< 0.1%
 
814107957630.1%
 

reservation/TotalReservedNormalizedUnits
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

reservation/TotalReservedUnits
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

reservation/UnitsPerReservation
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

reservation/UnusedAmortizedUpfrontFeeForBillingPeriod
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

reservation/UnusedNormalizedUnitQuantity
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

reservation/UnusedQuantity
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

reservation/UnusedRecurringFee
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

reservation/UpfrontValue
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

savingsPlan/TotalCommitmentToDate
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

savingsPlan/SavingsPlanARN
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

savingsPlan/SavingsPlanRate
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

savingsPlan/UsedCommitment
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

savingsPlan/SavingsPlanEffectiveCost
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

savingsPlan/AmortizedUpfrontCommitmentForBillingPeriod
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

savingsPlan/RecurringCommitmentForBillingPeriod
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing70882
Missing (%)100.0%
Memory size553.9 KiB

Interactions

2020-08-24T16:40:51.045176image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:51.162452image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:51.262450image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:51.372577image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:51.466676image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:51.572998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:51.672288image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:51.765071image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:51.861148image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:51.962119image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:52.065651image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:52.166906image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:52.270743image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:52.372871image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:52.465935image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:52.557593image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:52.655086image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:52.742048image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:52.838558image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:52.937914image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:53.038202image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:53.134265image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:53.229856image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:53.323527image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:53.525637image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:53.625332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:53.717769image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:53.815868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:53.914254image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:54.024214image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:54.124363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:54.225454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:54.320863image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:54.423049image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:54.525322image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:54.629340image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:54.729762image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:54.826687image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:54.932206image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:55.035728image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:55.124968image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:55.217716image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:55.318072image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:55.410293image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:55.507046image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:55.602188image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:55.693991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:55.787483image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:55.890494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:55.989835image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:40:56.081262image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-24T16:41:00.571220image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:41:00.677868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:41:00.790790image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:41:00.890764image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:41:00.993513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:41:01.104918image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:41:01.207280image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-24T16:41:01.684626image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-24T16:41:02.907076image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-24T16:41:07.992477image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:41:08.106021image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:41:08.216762image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:41:08.334318image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:41:08.432061image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:41:08.533788image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:41:08.647060image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:41:08.771505image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:41:08.887694image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

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Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-24T16:42:12.860671image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-24T16:42:13.234179image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-24T16:42:13.679170image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-24T16:41:10.203002image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:41:15.949666image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:41:22.963601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-24T16:41:27.199132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

identity/LineItemIdidentity/TimeIntervalbill/InvoiceIdbill/BillingEntitybill/BillTypebill/PayerAccountIdbill/BillingPeriodStartDatebill/BillingPeriodEndDatelineItem/UsageAccountIdlineItem/LineItemTypelineItem/UsageStartDatelineItem/UsageEndDatelineItem/ProductCodelineItem/UsageTypelineItem/OperationlineItem/AvailabilityZonelineItem/ResourceIdlineItem/UsageAmountlineItem/NormalizationFactorlineItem/NormalizedUsageAmountlineItem/CurrencyCodelineItem/UnblendedRatelineItem/UnblendedCostlineItem/BlendedRatelineItem/BlendedCostlineItem/LineItemDescriptionlineItem/TaxTypelineItem/LegalEntityproduct/ProductNameproduct/accountAssistanceproduct/alarmTypeproduct/architecturalReviewproduct/architectureSupportproduct/availabilityproduct/bestPracticesproduct/cacheEngineproduct/capacitystatusproduct/caseSeverityresponseTimesproduct/categoryproduct/clockSpeedproduct/computeFamilyproduct/currentGenerationproduct/customerServiceAndCommunitiesproduct/databaseEngineproduct/dedicatedEbsThroughputproduct/deploymentOptionproduct/descriptionproduct/durabilityproduct/ecuproduct/endpointTypeproduct/engineCodeproduct/enhancedNetworkingSupportedproduct/findingGroupproduct/findingSourceproduct/findingStorageproduct/freeUsageIncludedproduct/fromLocationproduct/fromLocationTypeproduct/groupproduct/groupDescriptionproduct/includedServicesproduct/instanceFamilyproduct/instanceTypeproduct/instanceTypeFamilyproduct/intelAvx2Availableproduct/intelAvxAvailableproduct/intelTurboAvailableproduct/launchSupportproduct/licenseModelproduct/locationproduct/locationTypeproduct/maxIopsBurstPerformanceproduct/maxIopsvolumeproduct/maxThroughputvolumeproduct/maxVolumeSizeproduct/memoryproduct/messageDeliveryFrequencyproduct/messageDeliveryOrderproduct/minVolumeSizeproduct/networkPerformanceproduct/normalizationSizeFactorproduct/operatingSystemproduct/operationproduct/operationsSupportproduct/physicalProcessorproduct/preInstalledSwproduct/proactiveGuidanceproduct/processorArchitectureproduct/processorFeaturesproduct/productFamilyproduct/programmaticCaseManagementproduct/queueTypeproduct/regionproduct/requestDescriptionproduct/requestTypeproduct/resourceEndpointproduct/routingTargetproduct/routingTypeproduct/servicecodeproduct/servicenameproduct/skuproduct/standardGroupproduct/standardStorageproduct/storageproduct/storageClassproduct/storageFamilyproduct/storageMediaproduct/storageTypeproduct/technicalSupportproduct/tenancyproduct/thirdpartySoftwareSupportproduct/toLocationproduct/toLocationTypeproduct/trainingproduct/transferTypeproduct/usagetypeproduct/vcpuproduct/versionproduct/volumeApiNameproduct/volumeTypeproduct/whoCanOpenCasespricing/RateIdpricing/currencypricing/publicOnDemandCostpricing/publicOnDemandRatepricing/termpricing/unitreservation/AmortizedUpfrontCostForUsagereservation/AmortizedUpfrontFeeForBillingPeriodreservation/EffectiveCostreservation/EndTimereservation/ModificationStatusreservation/NormalizedUnitsPerReservationreservation/NumberOfReservationsreservation/RecurringFeeForUsagereservation/StartTimereservation/SubscriptionIdreservation/TotalReservedNormalizedUnitsreservation/TotalReservedUnitsreservation/UnitsPerReservationreservation/UnusedAmortizedUpfrontFeeForBillingPeriodreservation/UnusedNormalizedUnitQuantityreservation/UnusedQuantityreservation/UnusedRecurringFeereservation/UpfrontValuesavingsPlan/TotalCommitmentToDatesavingsPlan/SavingsPlanARNsavingsPlan/SavingsPlanRatesavingsPlan/UsedCommitmentsavingsPlan/SavingsPlanEffectiveCostsavingsPlan/AmortizedUpfrontCommitmentForBillingPeriodsavingsPlan/RecurringCommitmentForBillingPeriod
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